Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Open, evidence-backed AI policy records for public reuse.
Quito, Ecuador
Universidad San Francisco de Quito USFQ has 4 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 20, 2026.
v1 public contract
Universidad San Francisco de Quito USFQ has 4 source-backed AI policy claims from 3 official source attributions, including 4 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 20, 2026. Discovery context: Universidad San Francisco de Quito USFQ is listed as QS 2026 rank 801-850.
As of this public record, University AI Policy Tracker lists Universidad San Francisco de Quito USFQ as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universidad-san-francisco-de-quito-usfq.json. The entity-level confidence is 88%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.
This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.
This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
Deterministic source-backed dimensions derived from this record's public claims.
Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.
Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Universidad San Francisco de Quito USFQ has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Universidad San Francisco de Quito USFQ has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Universidad San Francisco de Quito USFQ has 4 source-backed public claims for exams; deterministic analysis status: restricted.
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Universidad San Francisco de Quito USFQ has 2 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Universidad San Francisco de Quito USFQ has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Universidad San Francisco de Quito USFQ has 1 source-backed public claim for named ai services; deterministic analysis status: unclear.
Universidad San Francisco de Quito USFQ has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
4 reviewed evidence-backed public claim
Academic Integrity
Normalized value: journal_manuscripts_ai_limited_formal_support_disclosure_required
Original evidence
Evidence 1El uso de herramientas de inteligencia artificial generativa se permite exclusivamente como apoyo limitado en aspectos formales de redacción (por ejemplo, gramática o claridad lingüística) y deberá declararse explícitamente.
Localized display only
Generative AI tools are permitted only as limited support for formal writing aspects, such as grammar or linguistic clarity, and must be explicitly declared.
Academic Integrity
Normalized value: journal_manuscripts_ai_cannot_replace_academic_judgment
Original evidence
Evidence 1En ningún caso estas herramientas podrán sustituir el criterio académico del autor ni asumir tareas sustantivas como la formulación de hipótesis, el análisis jurídico o la elaboración argumentativa.
Localized display only
In no case may these tools replace the author’s academic judgment or assume substantive tasks such as hypothesis formulation, legal analysis, or argumentation.
Ai Tool Treatment
Normalized value: course_requires_premium_chatgpt_and_claude_access
Original evidence
Evidence 1Acceso a cuentas en plataformas de IA (se requiere suscripción premium a OpenAI ChatGPT y Claude.ai durante la duración del programa)
Localized display only
Access to AI platform accounts is required, including premium OpenAI ChatGPT and Claude.ai subscriptions for the duration of the program.
Teaching
Normalized value: course_teaches_responsible_transparent_ai_use
Original evidence
Evidence 1Evaluar y abordar los desafíos éticos asociados con el uso de IA, aplicando buenas prácticas y directrices éticas para asegurar una implementación responsable y transparente.
Localized display only
The course outcome is to evaluate and address ethical challenges associated with AI use, applying good practices and ethical guidelines for responsible and transparent implementation.
0 machine or needs-review claim
Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.
3 source attribution
revistas.usfq.edu.ec
usfq.edu.ec
usfq.edu.ec
Source-check timeline and diff-style claim/evidence preview.
View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.
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